Noise-induced breakdown of the Michaelis-Menten equation in steady-state conditions.
about
Intrinsic noise analyzer: a software package for the exploration of stochastic biochemical kinetics using the system size expansionNoise-induced modulation of the relaxation kinetics around a non-equilibrium steady state of non-linear chemical reaction networksModeling and simulation of biological systems from image data.Investigating the robustness of the classical enzyme kinetic equations in small intracellular compartmentsThe slow-scale linear noise approximation: an accurate, reduced stochastic description of biochemical networks under timescale separation conditions.Exponential signaling gain at the receptor level enhances signal-to-noise ratio in bacterial chemotaxis.Accuracy of the Michaelis-Menten approximation when analysing effects of molecular noiseIntrinsic noise alters the frequency spectrum of mesoscopic oscillatory chemical reaction systems.Variance-corrected Michaelis-Menten equation predicts transient rates of single-enzyme reactions and response times in bacterial gene-regulation.GillesPy: A Python Package for Stochastic Model Building and Simulation.Analytical approximations for spatial stochastic gene expression in single cells and tissuesThe Spatial Chemical Langevin Equation and Reaction Diffusion Master Equations: moments and qualitative solutions.Effects of bursty protein production on the noisy oscillatory properties of downstream pathways.Note: Parameter-independent bounding of the stochastic Michaelis-Menten steady-state intrinsic noise variance.Emergence of dynamic cooperativity in the stochastic kinetics of fluctuating enzymes.Distinguishing between discreteness effects in stochastic reaction processes.Anomalous fluctuation scaling laws in stochastic enzyme kinetics: increase of noise strength with the mean concentration.Reaction-diffusion with stochastic decay rates.A study of the accuracy of moment-closure approximations for stochastic chemical kinetics.Efficient Low-Order Approximation of First-Passage Time Distributions.Enzyme efficiency: An open reaction system perspective.Approximate probability distributions of the master equation.Stochastic quasi-steady state approximations for asymptotic solutions of the chemical master equation.Stochastic processes with distributed delays: chemical Langevin equation and linear-noise approximation.A graph-based approach for the approximate solution of the chemical master equation.Construction and accuracy of partial differential equation approximations to the chemical master equation.How accurate are the nonlinear chemical Fokker-Planck and chemical Langevin equations?Stochastic theory of large-scale enzyme-reaction networks: finite copy number corrections to rate equation models.An effective rate equation approach to reaction kinetics in small volumes: theory and application to biochemical reactions in nonequilibrium steady-state conditions.
P2860
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P2860
Noise-induced breakdown of the Michaelis-Menten equation in steady-state conditions.
description
2009 nî lūn-bûn
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2009年の論文
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年學術文章
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2009年學術文章
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name
Noise-induced breakdown of the Michaelis-Menten equation in steady-state conditions.
@en
Noise-induced breakdown of the Michaelis-Menten equation in steady-state conditions.
@nl
type
label
Noise-induced breakdown of the Michaelis-Menten equation in steady-state conditions.
@en
Noise-induced breakdown of the Michaelis-Menten equation in steady-state conditions.
@nl
prefLabel
Noise-induced breakdown of the Michaelis-Menten equation in steady-state conditions.
@en
Noise-induced breakdown of the Michaelis-Menten equation in steady-state conditions.
@nl
P2860
P1476
Noise-induced breakdown of the Michaelis-Menten equation in steady-state conditions
@en
P2860
P304
P356
10.1103/PHYSREVLETT.102.218103
P407
P50
P577
2009-05-29T00:00:00Z